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Exploring genetic suppression interactions on a global scale

2016; American Association for the Advancement of Science; Volume: 354; Issue: 6312 Linguagem: Inglês

10.1126/science.aag0839

1095-9203

Jolanda van Leeuwen, Carles Pons, Joseph Mellor, Takafumi N. Yamaguchi, Helena Friesen, John H. Koschwanez, Mojca Mattiazzi Ušaj, Maria Pechlaner, Mehmet Takar, Matej Ušaj, Benjamin VanderSluis, Kerry Andrusiak, Pritpal Bansal, Anastasia Baryshnikova, Claire Boone, Jessica Cao, Atina G. Coté, Marinella Gebbia, Gene Horecka, Ira Horecka, Elena Kuzmin, Nicole Legro, Wendy Liang, Natascha van Lieshout, Margaret McNee, Bryan-Joseph San Luis, Fatemeh Shaeri, Ermira Shuteriqi, Song Sun, Yang Lü, Ji‐Young Youn, Michael Wai-Keong Yuen, Michael Costanzo, Anne‐Claude Gingras, Patrick Aloy, Chris Oostenbrink, Andrew W. Murray, Todd R. Graham, Chad L. Myers, Brenda Andrews, Frederick P. Roth, Charles Boone,

Biofuel production and bioconversion

A global genetic suppression network The genetic background of an organism can influence the overall effects of new genetic variants. Some mutations can amplify a deleterious phenotype, whereas others can suppress it. Starting with a literature survey and expanding into a genomewide assay, van Leeuwen et al. generated a large-scale suppression network in yeast. The data set reveals a set of general properties that can be used to predict suppression interactions. Furthermore, the study provides a template for extending suppression studies to other genes or to more complex organisms. Science , this issue p. 599